(Cat? OR feline) AND NOT dog?
Cat? W/5 behavior
(Cat? OR feline) AND traits
Cat AND charact*

This guide provides a more detailed description of the syntax that is supported along with examples.

This search box also supports the look-up of an IP.com Digital Signature (also referred to as Fingerprint); enter the 72-, 48-, or 32-character code to retrieve details of the associated file or submission.

Concept Search - What can I type?

For a concept search, you can enter phrases, sentences, or full paragraphs in English. For example, copy and paste the abstract of a patent application or paragraphs from an article.

Concept search eliminates the need for complex Boolean syntax to inform retrieval. Our Semantic Gist engine uses advanced cognitive semantic analysis to extract the meaning of data. This reduces the chances of missing valuable information, that may result from traditional keyword searching.

Method and System for Detecting Anomalous Events and Behaviors in Social Networks

Publishing Venue

Abstract

A method and system is disclosed for detecting anomalous events and behaviors in social networks.

Country

Undisclosed

Language

English (United States)

This text was extracted from a PDF file.

This is the abbreviated version, containing approximately
52% of the total text.

Page 01 of 3

Method and System for Detecting Anomalous Events and Behaviors in Social

Networks

Disclosed is a method and system for detecting anomalous events and behaviors in social networks. The method and system performs several analytics on textual posts and behavior on the social networks to help users examine a situation and make decision on possible anomalous events and behaviors that are prone to occur . Wide range of analytic results are displayed to the users on a particular interface to monitor and give feedback on the results. Optionally, users can also view details of the events or individuals involved in anomalous behavior around the anomalous events .

In accordance with the method and system, a sequence of steps are performed in order to display a progress of anomalous sequences occurring by re-post actions performed by multiple users of the same social network. The method and system collects initial textual postings constrained by keywords and geo-locations of interest on a social network and constructs statistical models of user activities. Statistical models involve calculating interaction strengths between multiple users which is termed as edge

weight. Subsequently, statistical models also involve, calculating the postings, re-postings (replies) of multiple users, for over a period of time. Thereafter, an aggregated interaction of users is developed with the help of available statistical models.

Based on the aggregated interaction, the method and system selects a set of users along with their profiles whose social activity is found to be deviating from policies imposed on various social networks. Further, a set of posts and re-posts are also selected from the aggregated interaction which indicates certain data points such as , for example, emotions, sentiments, etc that are useful to the use...